Writer Identification for Historical Arabic Documents
Writer Identification for Historical Arabic Documents
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历史阿拉伯文献的作者识别
DOI：
10.1109/icpr.2014.526
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
T. Fingscheidt
中科院分区：
文献类型：
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作者：
Daniel Fecker;Abedelkadir Asi;V. Märgner;Jihad El;T. Fingscheidt
手写历史文献的作者鉴定是一项重要而具有挑战性的任务。在本文中，我们提出了几个特征提取和分类方法，用于识别历史阿拉伯语手稿中的作家。该方法能够成功地识别多页文档的作者。特征提取方法依赖于不同的原则，如轮廓，纹理和关键点为基础的分类方案是基于平均和投票。对于所有实验，使用基于公开可用数据库的专用数据集。实验结果表明，使用一种新的特征提取的关键点描述符的基础上，取得了最好的性能。
Identification of writers of handwritten historical documents is an important and challenging task. In this paper we present several feature extraction and classification approaches for the identification of writers in historical Arabic manuscripts. The approaches are able to successfully identify writers of multipage documents. The feature extraction methods rely on different principles, such as contour-, textural- and key point-based and the classification schemes are based on averaging and voting. For all experiments a dedicated data set based on a publicly available database is used. The experiments show promising results and the best performance was achieved using a novel feature extraction based on key point descriptors.